Event-driven probabilistic constraint programming

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Real-life management decisions are usually made in uncertain environments, and decision support systems that ignore this uncertainty are unlikely to provide realistic guidance. We show that previous approaches fail to provide appropriate support for reasoning about reliability under uncertainty. We propose a new framework that addresses this issue by allowing logical dependencies between constraints. Reliability is then defined in terms of key constraints called "events", which are related to other constraints via these dependencies. We illustrate our approach on two problems, contrast it with existing frameworks, and discuss future developments.

Original languageEnglish
Title of host publicationIntegration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems - Third International Conference, CPAIOR 2006, Proceedings
PublisherSpringer Verlag
Pages197-211
Number of pages15
ISBN (Print)3540343067, 9783540343066
DOIs
Publication statusPublished - 2006
Event3rd International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2006 - Cork, Ireland
Duration: 31 May 20062 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3990 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2006
Country/TerritoryIreland
CityCork
Period31/05/062/06/06

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